Emiel Slootman

ir. E. Slootman (Emiel)
PhD Candidate

University of Twente
Faculty of Science and Technology
Carre building, CR 4037
P.O. Box 217
7500 AE Enschede
The Netherlands

EDUCATION

2023 -

PhD in Physics, University of Twente
Graduation expected in 2027
Supervisor: Prof. Claudia Filippi

2020 - 2023

MSc. Theoretical Physics, Utrecht University
MSc. Applied Physics, University of Twente
Thesis supervisors: Prof. Cristiane Morais Smith & dr. Jan Klärs
Spectral and Thermodynamical Properties of non-Hermitian Photon Gases

2017 - 2020

BSc. Applied Physics, University of Twente

publications

E. Slootman, I. Poltavsky, R. Shinde, J. Cocomello, S. Moroni, A. Tkatchenko and C. Filippi, Accurate quantum Monte Carlo forces for machine-learned force fields: Ethanol as a benchmark. arXiv preprint arXiv:2404.09755 (2024).

E. Slootman, W. Cherifi, L. Eek, R. Arouca, E. Bergholtz, M. Bourennane and C. Morais Smith, Breaking and resurgence of symmetry in the non-Hermitian Su-Schrieffer-Heeger model in photonic waveguides. arXiv preprint arXiv:2304.05748 (2023).

in the news

TALKS

19-04-2024

QUANT Meeting, contributed talk
Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol

09-04-2024

NEM-day, contributed talk, presentation award
Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol

05-02-2024 -
09-02-2024

TREX Symposium: Bridging Quantum Monte Carlo and High-Performance Simulations
contributed talk
QMC Forces for Room-Temperature Ethanol: Algorithms and Wave Functions for High Accuracy

posters

17-04-2024

CTC Spring Meeting, poster award
Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol

23-01-2024 -
24-01-2024

NWO Physics
Modeling Weakly Interacting Systems with Quantum Monte Carlo

Other

08-01-2024 - 11-01-2024

Scientific Visit University of Luxembourg
Theoretical Chemical Physics Group, Prof. Alexandre Tkatchenko